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A Web3 First: China Leverages Cross-Border AI Data For Industrial Use

A Web3 First: China Leverages Cross-Border AI Data For Industrial Use

Forbes25-03-2025

In a world-first, China's Shenzhen Data Exchange (SDEx) facilitates a deal that brings decentralized, community-sourced AI data into real industrial applications through Web3 infrastructure. SDEx is the largest provider of national-level data trading platforms for data marketization and cross-border circulation in China's digital economy. The platform provides a comprehensive suite of services, including compliance protection, circulation support, supply and demand connection, and ecological development, enabling businesses and consumers to trade data efficiently.
In my previous articles, I emphasized that data will inevitably become the next key battleground frontier in AI's global race. This article delves into how SDEx has taken a significant leap forward in cross-border data collection through a commercially viable model powered by Decentralized AI (DeAI).
First, let's reiterate the looming bottleneck facing the global AI industry: data scarcity. As industries and companies increasingly rely on AI models for innovation, the demand for high-quality training data will skyrocket. This challenge cuts across sectors:
The fundamental question then becomes: where can we source this immense volume of data at scale? Traditional centralized data collection methods encounter significant limitations:
While the chipset race dominates headlines, a quieter but equally crucial data war is underway. Recently, the SDEx facilitated a commercial deal between Shenzhen Intellifusion Technologies, a publicly listed Chinese AI company, and OORT, a decentralized AI solution provider.
Intellifusion has been developing industry-specific AI solutions to enhance its smart factory capabilities. Specifically, they needed industrial datasets, including images of professional respiratory masks and confined-space ventilation ducts, among other things. OORT enabled the collection of this data through its product solution, OORT DataHub. It achieved this by distributing data collection tasks to its global community, spanning over 130 countries. Participants could contribute their data and earn crypto incentives, a feat unattainable through traditional banking or Web2 platforms. This deal marks the realization of the first commercially viable model for truly decentralized, global data collection, a significant advancement in cross-border data services.
While established platforms like Amazon's AWS Data Exchange (ADX) exist, they possess limitations that hinder the next phase of AI's global advancement:
Reflecting this context, the DeAI space has recently made remarkable strides toward building a more open AI future amidst growing concerns over the centralized model's dominance by a few major players. Notably, two DeAI alliances emerged on the same day.
First, HumanAIx, founded by 13 Web3 entities, including OORT, YGG, NEO, and io.net, introduced an open protocol designed to connect partners seamlessly. Each participant contributes essential components—validation, storage, computing, and data—to establish a permissionless, scalable, and verifiable decentralized AI infrastructure. Its three-layer architecture—interface, protocol (integrating compute, storage, and data), and security—leverages industry expertise to foster an open environment for the future of DeAI.
Simultaneously, another coalition of Web3 leaders, including NEAR, Aethir, and Coinbase, formed the Open Agents Alliance (OAA), which aims to ensure secure, open-source, economical, and fair AI access.
Despite crypto's recent bearish turn and the AI sector's vulnerability to hype and inflated narratives, it's promising to see serious industry players working on potentially profound and sustainable solutions. Only projects with viable business models will endure. SDEx has taken a significant step by embracing decentralized data collection, a move that signals a broader shift with global implications. This development suggests an important shift is underway, prompting industry participants to reconsider how they gather, verify, and manage data for AI development.
Disclosure: I am the founder and CEO of OORT.

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UK pumps £14 bn into nuclear plant on path to net zero

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10 productivity gadgets that will help you work smart in 2025
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Android Authority

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  • Android Authority

10 productivity gadgets that will help you work smart in 2025

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2 key questions to consider as U.S.-China trade talks continue in London
2 key questions to consider as U.S.-China trade talks continue in London

Yahoo

time34 minutes ago

  • Yahoo

2 key questions to consider as U.S.-China trade talks continue in London

-- U.S.-China trade negotiations currently taking place in London have the potential to influence financial markets, particularly in China, according to analysts at Capital Economics. In a note on Tuesday, the firm highlighted two crucial questions for consideration. First, the analysts ponder the potential boost an eventual "deal" could provide to China's equity market, noting its underperformance since "Liberation Day." However, Capital Economics cautions against expecting a significant turnaround, stating, "We wouldn't bank on a big turnaround thanks to any potential trade breakthroughs." They emphasize that "the tariff shock to China's equities hasn't actually been especially large, with other factors such as domestic policy more important." Furthermore, they "doubt that the U.S. will back off completely," which is likely to "restrain any relief rally." While an easing of access to high-end semiconductors could offer a boost to China's tech stocks, Capital Economics suggests not to "expect too much there, either." They note that the "bigger plunge" in tech valuations occurred during subsequent crackdowns by Chinese authorities, not solely due to the 2018 trade war. Second, Capital Economics examines the implications of the talks for the renminbi. While acknowledging that "some discussion of exchange rates" would not be surprising, they "would be surprised, though, if China agreed to allow its currency to appreciate much as a result of any 'deal' with the U.S." This is said to be partly because "China's authorities are unlikely to want to be seen to be dictated to by Trump on FX policy." More importantly, they "suspect they'll be concerned about the health of the manufacturing sector given its massive increase in capacity lately." The analysts consider fiscal stimulus as a potential way to balance domestic economic growth and exchange rate appreciation, but believe China's authorities' "calculus hasn't changed much" on this front. They anticipate "symbolic offerings to the U.S. (such as agreed purchases of certain U.S. goods) are much more likely," leading them to suspect the renminbi's "more likely path... is to weaken slightly against the dollar over the rest of this year." Related articles 2 key questions to consider as U.S.-China trade talks continue in London Canada to hit NATO defense target early, Carney says Muted expectations in Canadian sectors show room for positive surprises - BMO Error in retrieving data Sign in to access your portfolio Error in retrieving data Error in retrieving data Error in retrieving data Error in retrieving data

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